Folgen
Thanard Kurutach
Thanard Kurutach
Research Scientist, Cruise llc
Bestätigte E-Mail-Adresse bei getcruise.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Model-ensemble trust-region policy optimization
T Kurutach, I Clavera, Y Duan, A Tamar, P Abbeel
arXiv preprint arXiv:1802.10592, 2018
5842018
Mastering atari games with limited data
W Ye, S Liu, T Kurutach, P Abbeel, Y Gao
Advances in neural information processing systems 34, 25476-25488, 2021
2692021
Learning to manipulate deformable objects without demonstrations
Y Wu, W Yan, T Kurutach, L Pinto, P Abbeel
arXiv preprint arXiv:1910.13439, 2019
2312019
Learning plannable representations with causal infogan
T Kurutach, A Tamar, G Yang, SJ Russell, P Abbeel
Advances in Neural Information Processing Systems 31, 2018
2202018
Learning robotic manipulation through visual planning and acting
A Wang, T Kurutach, K Liu, P Abbeel, A Tamar
arXiv preprint arXiv:1905.04411, 2019
1552019
Sparse graphical memory for robust planning
S Emmons, A Jain, M Laskin, T Kurutach, P Abbeel, D Pathak
Advances in neural information processing systems 33, 5251-5262, 2020
582020
Hallucinative topological memory for zero-shot visual planning
K Liu, T Kurutach, C Tung, P Abbeel, A Tamar
International conference on machine learning, 6259-6270, 2020
492020
Trajectory-wise multiple choice learning for dynamics generalization in reinforcement learning
Y Seo, K Lee, I Clavera Gilaberte, T Kurutach, J Shin, P Abbeel
Advances in Neural Information Processing Systems 33, 12968-12979, 2020
472020
Deep variational semi-supervised novelty detection
T Daniel, T Kurutach, A Tamar
arXiv preprint arXiv:1911.04971, 2019
312019
Object-based world modeling in semi-static environments with dependent Dirichlet-process mixtures
LLS Wong, T Kurutach, LP Kaelbling, T Lozano-Pérez
arXiv preprint arXiv:1512.00573, 2015
62015
Discrete Predictive Representation for Long-horizon Planning
T Kurutach, J Peng, Y Gao, S Russell, P Abbeel
12021
MAJOR-MINOR INTERSECTION PREDICTION USING TRAFFIC SIGN FEATURES
T Kurutach, C Chen, O Jin
US Patent US-20240246573-A1, 2024
2024
MULTIMODAL TRAJECTORY PREDICTIONS BASED ON GEOMETRIC ANCHORING
A Abdulhamid, T Kurutach
US Patent US-20240246574-A1, 2024
2024
AUTONOMOUS VEHICLE PREDICTION LAYER TRAINING
T Kurutach, A Perez
US Patent US-20240246537-A1, 2024
2024
HIERARCHICAL MODE ANCHORING
T Kurutach, F Jiang, M Grecu
US Patent US-20230192128-A1, 2023
2023
Learning, Planning, and Acting with Models
T Kurutach
University of California, Berkeley, 2021
2021
Object-based world modeling in semi-static environments with dependent dirichlet process mixtures
LP Kaelbling, T Lozano-Pérez, T Kurutach
2016
MODEL-ENSEMBLE TRUST-REGION POLICY OPTI
T Kurutach, I Clavera, Y Duan, A Tamar, P Abbeel
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–18